GTM Engineer

About the Role DataBahn is an AI-powered data pipeline and fabric platform that helps enterprise security and IT teams collect, enrich, and route telemetry data, cutting SIEM costs, eliminating fragmented toolchains, and making data AI-ready in real time. We are venture-backed and growing fast, but the systems underneath have not kept pace. Data is scattered, workflows are manual, and our tools do not talk to each other well enough to give us a clear picture of what is driving revenue. This is a builder role. You will sit at the intersection of marketing, sales, and partner operations, owning the systems, agents, and automations that make the entire GTM motion faster and more effective. That means two things in practice: acceleration (finding the steps that repeat, the decisions that follow rules, the handoffs that eat time, and building working systems to handle them) and invention (creating capabilities we do not have yet, not just automating what exists, but building what is missing). You will work directly alongside the marketing, sales and revenue operations teams to understand what they need, translate those needs into technical solutions, and build systems they actually use. You are the person who makes the people around you faster. You will be measured on revenue outcomes: pipeline generated, conversion rates, and cost efficiency. Not on whether the tools are running. What You Will Build Signal-based account prioritization. Aggregate buying signals across intent data, firmographic triggers, product usage, and web activity to surface the accounts worth pursuing right now. Build enrichment workflows that pull from ZoomInfo and other sources to create complete account and contact profiles before any outreach happens. Develop and maintain scoring models that route the right accounts to sales and partner teams at the right time, and keep those models current as the ICP evolves. Personalized outreach at scale. Use enriched account data to generate personalized outreach cadences that reflect what we actually know about each account, not just their industry and title. Build the logic that decides which message, channel, and timing is right for a given signal, and automate the execution. Coordinate outreach across email, paid search, and retargeting so campaigns work as a connected system. Partner and channel infrastructure. Build and maintain the data pipeline between PartnerStack and HubSpot so partner-sourced and partner-influenced revenue is tracked accurately. Automate partner onboarding workflows, co-selling alerts, and deal registration processes. Build attribution models that reflect the reality of a channel-led motion, where influence is often indirect and multi-touch. Work closely with the Field and Partner Marketing Manager to build the automation layer that scales the partner program. Website and conversion infrastructure. Help move away from a form-based website model toward higher-converting, lower-friction experiences: chat, instant scheduling, AI-assisted qualification. Build the integrations that connect web behavior to our CRM and outreach systems in real time. Own conversion rate infrastructure and experiment with what actually moves the needle. Stack and tooling strategy. Evaluate and evolve the marketing and GTM stack. What we have today is a starting point, not a constraint. Build integrations and automations that connect the tools we have and fill the gaps where they fall short. Document systems and processes so institutional knowledge does not live in one person's head. Work cross-functionally with sales, marketing, and partner teams to translate operational pain into technical solutions. What We Are Looking For Required 3+ years in a GTM engineering, revenue operations, marketing operations, or growth role at a B2B SaaS company. The instinct to look at a manual process and ask why it is not automated, and the ability to actually automate it. Hands-on HubSpot experience: custom objects, workflows, API integrations, and reporting beyond admin-level configuration. Experience building automated workflows using tools like Clay, Make, Zapier, or equivalents, and a willingness to evaluate and adopt better tools when they exist. Comfort writing basic scripts or queries (JavaScript, Python, SQL). You do not need to be a software engineer, but you cannot be afraid of code. Strong data instincts: you notice when numbers do not add up and you investigate until you understand why. Fluency with AI tools as a core part of how you build, not just a productivity shortcut. We use Claude and Claude Code heavily and expect this person to push the limits of what those tools can do. Nice to Have Experience with PartnerStack or another PRM. Familiarity with ZoomInfo data models and enrichment workflows. Prior experience at a company with a channel or partner-led GTM motion. Exposure to intent data providers (6sense, Bombora, G2). Experience working across both marketing and sales/RevOps systems in the same role. The Profile The best GTM Engineers tend to come from revenue operations, marketing ops, growth, or sales operations backgrounds. They are technical but care about revenue outcomes. They think in systems but measure themselves on pipeline, not on whether the infrastructure is elegant. They work across sales, marketing, and partner teams without belonging exclusively to any of them. They make the people around them faster. What This Is Not This is not a strategy-only role, and it is not a RevOps or analytics role. You will think strategically, but you will build things yourself. You will not have a team to hand work to. If you are primarily a tool administrator or vendor manager, this is not the right fit. 

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